Home-services startup Pronto is expanding Pronto Verified, a premium booking service under which customers can choose to have household jobs recorded through head cameras worn by service professionals. Founder and CEO Anjali Sardana said in a LinkedIn post on Friday that the service is being scaled after an earlier pilot drew criticism over privacy, consent and worker surveillance concerns. The model gives customers an optional recorded-service tier, while professionals who participate are paid double their usual earnings for those jobs. The recorded footage is intended to capture work activity and later be used to train artificial intelligence models.
The company’s positioning places Pronto at the intersection of India’s on-demand services economy, AI training-data creation and platform-labour governance. Service work inside homes can generate highly specific operational data: how appliances are handled, how repairs are sequenced, how safety checks are performed, and how professionals respond to edge cases in real environments. That data can be valuable for building AI systems that assist training, standardisation, quality review and possibly task automation. It also raises questions about the boundaries between process capture, customer consent, worker privacy and the handling of personal information inside private spaces.
Pronto has said the footage records only work activity, with personally identifiable information automatically blurred and deleted. The expansion follows scrutiny during the initial pilot, when the use of head-mounted cameras in domestic environments became a flashpoint for wider concerns about how consumer platforms collect and repurpose real-world data for AI. The latest rollout keeps the recorded service optional for customers and ties professional participation to higher compensation, creating a market-based structure for consent and incentives.
The development is notable because Indian consumer internet platforms are increasingly embedding AI into operational workflows rather than limiting it to chatbots or discovery tools. The practical challenge is not only model performance, but governance around where training data comes from and how it is documented, anonymised, retained and monetised. Pronto’s service may become an early test case for how Indian platforms balance AI data needs with household privacy and frontline-worker participation. The company’s claims on automatic blurring and deletion will be central to how the model is judged as it scales beyond a limited premium-service base.
